Enterprise AI Tooling Engineer — Python & LLMs (MCP)

Agilus Work Solutions; Toronto; Hybrid; CAD 110,000 - 170,000; Full time

Job summary

Agilus Work Solutions in Toronto- Hybrid (3 days onsite) seeks a hands-on End User AI Tooling Developer to join enterprise AI team, focusing on connecting enterprise AI assistants to internal systems and building reusable AI capabilities.

You will work on Cloud Desktop and AI initiatives, applying Python, LLM/GenAI, and API integrations to turn real-world workflow challenges into scalable solutions for business users. Strong MCP experience is a differentiator.

Qualifications

• 7+ years of hands-on software development experience, with strong Python expertise.
• Experience with ChatGPT, Claude, AI platforms, plugins, connectors, or similar enterprise AI tooling.
• 3+ years experience with LLMs / Generative AI, including tool use, AI agents, agentic patterns, RAG/retrieval, and evaluation.
• 2+ years experience with MCP (Model Context Protocol) is highly preferred.
• 7+ years experience with APIs, integrations, Git, OAuth, SSO, authentication, authorization, and enterprise security concepts
• Understanding of data classification, entitlements, audit logging, and secure enterprise integrations
• Financial services or other regulated-industry experience is an asset.

Responsibilities

• Connect enterprise AI assistants to internal systems and build reusable AI capabilities.
• Support Cloud Desktop and AI initiatives within an enterprise AI team.
• Collaborate on APIs, integrations, retrieval, and evaluation to turn workflow challenges into scalable solutions.

Skills

Python development

LLMs / GenAI

AI agents

APIs / integrations

Tools

MCP (Model Context Protocol)

Job description

Agilus Work Solutions in Toronto- Hybrid (3 days onsite) seeks a hands-on End User AI Tooling Developer to join enterprise AI team, focusing on connecting enterprise AI assistants to internal systems and building reusable AI capabilities.

You will work on Cloud Desktop and AI initiatives, applying Python, LLM/GenAI, and API integrations to turn real-world workflow challenges into scalable solutions for business users. Strong MCP experience is a differentiator.